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| DOI | 10.5194/acp-22-8151-2022 |
| Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic | |
| Liu, Yinghui | |
| 发表日期 | 2022 |
| ISSN | 1680-7316 |
| EISSN | 1680-7324 |
| 起始页码 | 8151 |
| 结束页码 | 8173 |
| 卷号 | 22期号:12页码:23 |
| 英文摘要 | Previous studies revealed that satellites sensors with the best detection capability identify 25 %-40 % and 0 %-25 % fewer clouds below 0.5 and between 0.5-1.0 km, respectively, over the Arctic. Quantifying the impacts of cloud detection limitations on the radiation flux are critical especially over the Arctic Ocean considering the dramatic changes in Arctic sea ice. In this study, the proxies of the space-based radar, CloudSat, and lidar, CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations), cloud masks are derived based on simulated radar reflectivity with QuickBeam and cloud optical thickness using retrieved cloud properties from surface-based radar and lidar during the Surface Heat Budget of the Arctic Ocean (SHEBA) experiment. Limitations in low-level cloud detection by the space-based active sensors, and the impact of these limitations on the radiation fluxes at the surface and the top of the atmosphere (TOA), are estimated with radiative transfer model Streamer. The results show that the combined CloudSat and CALIPSO product generally detects all clouds above 1 km, while detecting 25 % (9 %) fewer in absolute values below 600 m (600 m to 1 km) than surface observations. These detection limitations lead to uncertainties in the monthly mean cloud radiative forcing (CRF), with maximum absolute monthly mean values of 2.5 and 3.4 Wm(-2) at the surface and TOA, respectively. Cloud information from only CALIPSO or CloudSat lead to larger cloud detection differences compared to the surface observations and larger CRF uncertainties with absolute monthly means larger than 10.0 Wm(-2) at the surface and TOA. The uncertainties for individual cases are larger - up to 30 Wm(-2). These uncertainties need to be considered when radiation flux products from CloudSat and CALIPSO are used in climate and weather studies. |
| 学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:000814523400001 |
| 来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273229 |
| 作者单位 | National Oceanic Atmospheric Admin (NOAA) - USA |
| 推荐引用方式 GB/T 7714 | Liu, Yinghui. Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic[J],2022,22(12):23. |
| APA | Liu, Yinghui.(2022).Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(12),23. |
| MLA | Liu, Yinghui."Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.12(2022):23. |
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